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Data Analyst Jobs in Austin, AR (NOW HIRING)

The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to ...

The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to ...

The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to ...

The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to ...

The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to ...

Financial Analyst

Little Rock, AR · On-site

$70K - $80K/yr

This position will be responsible for financial and data analysis, market research and reporting, budgeting, and forecasting. Key responsibilities: * Own and support the preparation and delivery of ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Identifies, documents, and defines reporting and analytical solutions with business stakeholders to strategically improve their consumption and utilization of business data. * Partners with the Data ...

Data Analyst information

See Austin, AR salary details

$28.8K

$70K

$115.2K

How much do data analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data analyst in Austin, AR is $69,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $82,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Austin, AR? The most popular types of Data Analyst jobs in Austin, AR are:
What job categories do people searching Data Analyst jobs in Austin, AR look for? The top searched job categories for Data Analyst jobs in Austin, AR are:
What cities near Austin, AR are hiring for Data Analyst jobs? Cities near Austin, AR with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Austin, AR as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 69% In-person, 10% Hybrid, and 21% Remote job distribution, with an average salary of $69,971 per year, or $33.6 per hour.

Full-time

Posted 8 days ago


Job description

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Job Summary
This position provides critical support for the quality, validity and integrity of confidential data to use in decision making and organizational efficiency improvement initiatives. The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to optimize effectiveness and/or predict business outcomes. Incumbent identifies, analyzes, and interprets trends or patterns and prepares ongoing reports and data visualizations in order to support business decisions.
Requirements
EDUCATION
Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five (5) years' health-related, non-clerical experience with an insurance, managed care, or healthcare technology-related organization will be considered.
EXPERIENCE
Minimum three (3) years' data analytics experience, which includes data extraction, data manipulation, repository building and data interpretation. OR applicable Masters in related field with minimum one (1) years' data analytics experience.
Experience with rational database i.e. SAS, SQL, AQT and MS Windows based query software.
Experience with the application of data management and analysis tools including but not limited to MS Access, SAS, R, S+, SQL, or Cognos preferred.
ESSENTIAL SKILLS & ABILITIES
Process Information
Deductive Reasoning
Category Flexibility
Case-Based Reasoning
Problem Solving
Report Creation
Report Processing
Report Presentations
Objectives Oriented
Strategic Approach
Critical Thinking
Organizing
Prioritization
Planning Activities
MySQL
IBM Cognos Impromptu
Mathematical Reasoning
Problem Sensitivity
Interpersonal Communication
Applied Research
External Communication
Sound Judgment
Decision Making
Written Expression
Written Comprehension
Information Collection
Analyze Information
Skills
• Analytical Decision Making• Analytical Problem Solving• Collaborative Communications• Critical Reasoning• Critical Thinking• Cross-Functional Communications• Cross-Functional Planning• Data Analysis• Database Queries• Data Management• Deductive Reasoning• IBM Cognos Impromptu• Information Interpretation• Management Techniques• Mathematical Reasoning• MySQL Database Administration• Object Classification• Problem Sensitivity• Researching• Security Awareness• Sound Judgment• Strategic Planning• Written Communication
Responsibilities
• Consults with users or decision makers to identify data sources, required data elements, and/or data validation standards.• Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed to develop statistics and design methodologies to be used for decision making and new business initiatives.• Interprets data to identify business trends, conduct root cause analysis of business problems, and suggest areas for process improvement.• Manages and uses ad-hoc report requests and findings to develop reporting processes.• Serves on special projects.
Certifications
Security Requirements
This position is identified as level three (3). This position must ensure the security and confidentiality of records and information to prevent substantial harm, embarrassment, inconvenience, or unfairness to any individual on whom information is maintained. The integrity of information must be maintained as outlined in the company Administrative Manual.
Segregation of Duties
Segregation of duties will be used to ensure that errors or irregularities are prevented or detected on a timely basis by employees in the normal course of business. This position must adhere to the segregation of duties guidelines in the Administrative Manual.
Employment Type
Regular
ADA Requirements
2.1 General Office Worker, Semi-Active, Campus Travel - Someone who normally works in an office setting or remotely, periodically has lifting and carrying requirements up to 40 lbs and routinely travels for work within walking distance of location of primary work assignment as essential functions of the job.